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parsnip  

A Common API to Modeling and Analysis Functions
View on CRAN: Click here


Download and install parsnip package within the R console
Install from CRAN:
install.packages("parsnip")

Install from Github:
library("remotes")
install_github("cran/parsnip")

Install by package version:
library("remotes")
install_version("parsnip", "1.2.1")



Attach the package and use:
library("parsnip")
Maintained by
Max Kuhn
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-11-12
Latest Update: 2024-02-16
Description:
A common interface is provided to allow users to specify a model without having to remember the different argument names across different functions or computational engines (e.g. 'R', 'Spark', 'Stan', 'H2O', etc).
How to cite:
Max Kuhn (2018). parsnip: A Common API to Modeling and Analysis Functions. R package version 1.2.1, https://cran.r-project.org/web/packages/parsnip. Accessed 03 Dec. 2024.
Previous versions and publish date:
0.0.1 (2018-11-12 11:10), 0.0.2 (2019-03-22 20:50), 0.0.3.1 (2019-08-06 11:00), 0.0.3 (2019-07-31 14:30), 0.0.4 (2019-11-02 18:30), 0.0.5 (2020-01-07 21:20), 0.1.0 (2020-04-09 06:40), 0.1.1 (2020-05-06 08:30), 0.1.2 (2020-07-03 18:50), 0.1.3 (2020-08-04 23:50), 0.1.4 (2020-10-27 15:40), 0.1.5 (2021-01-19 22:10), 0.1.6 (2021-05-27 07:20), 0.1.7 (2021-07-21 11:40), 0.2.0 (2022-03-09 10:30), 0.2.1 (2022-03-17 12:40), 1.0.0 (2022-06-16 12:20), 1.0.1 (2022-08-18 09:30), 1.0.2 (2022-10-01 21:30), 1.0.3 (2022-11-11 08:30), 1.0.4 (2023-02-23 00:30), 1.1.0 (2023-04-12 18:20), 1.1.1 (2023-08-17 23:50), 1.2.0 (2024-02-16 18:50)
Other packages that cited parsnip R package
View parsnip citation profile
Other R packages that parsnip depends, imports, suggests or enhances
Complete documentation for parsnip
Functions, R codes and Examples using the parsnip R package
Some associated functions: C5.0_train . C5_rules . add_on_exports . add_rowindex . augment . auto_ml . autoplot.model_fit . bag_mars . bag_mlp . bag_tree . bart-internal . bart . boost_tree . case_weights . censoring_weights . check_empty_ellipse . condense_control . contr_one_hot . control_parsnip . convert_helpers . convert_stan_interval . ctree_train . cubist_rules . decision_tree . descriptors . details_C5_rules_C5.0 . details_auto_ml_h2o . details_bag_mars_earth . details_bag_mlp_nnet . details_bag_tree_C5.0 . details_bag_tree_rpart . details_bart_dbarts . details_boost_tree_C5.0 . details_boost_tree_h2o . details_boost_tree_lightgbm . details_boost_tree_mboost . details_boost_tree_spark . details_boost_tree_xgboost . details_cubist_rules_Cubist . details_decision_tree_C5.0 . details_decision_tree_partykit . details_decision_tree_rpart . details_decision_tree_spark . details_discrim_flexible_earth . details_discrim_linear_MASS . details_discrim_linear_mda . details_discrim_linear_sda . details_discrim_linear_sparsediscrim . details_discrim_quad_MASS . details_discrim_quad_sparsediscrim . details_discrim_regularized_klaR . details_gen_additive_mod_mgcv . details_linear_reg_brulee . details_linear_reg_gee . details_linear_reg_glm . details_linear_reg_glmer . details_linear_reg_glmnet . details_linear_reg_gls . details_linear_reg_h2o . details_linear_reg_keras . details_linear_reg_lm . details_linear_reg_lme . details_linear_reg_lmer . details_linear_reg_spark . details_linear_reg_stan . details_linear_reg_stan_glmer . details_logistic_reg_LiblineaR . details_logistic_reg_brulee . details_logistic_reg_gee . details_logistic_reg_glm . details_logistic_reg_glmer . details_logistic_reg_glmnet . details_logistic_reg_h2o . details_logistic_reg_keras . details_logistic_reg_spark . details_logistic_reg_stan . details_logistic_reg_stan_glmer . details_mars_earth . details_mlp_brulee . details_mlp_h2o . details_mlp_keras . details_mlp_nnet . details_multinom_reg_brulee . details_multinom_reg_glmnet . details_multinom_reg_h2o . details_multinom_reg_keras . details_multinom_reg_nnet . details_multinom_reg_spark . details_naive_Bayes_h2o . details_naive_Bayes_klaR . details_naive_Bayes_naivebayes . details_nearest_neighbor_kknn . details_pls_mixOmics . details_poisson_reg_gee . details_poisson_reg_glm . details_poisson_reg_glmer . details_poisson_reg_glmnet . details_poisson_reg_h2o . details_poisson_reg_hurdle . details_poisson_reg_stan . details_poisson_reg_stan_glmer . details_poisson_reg_zeroinfl . details_proportional_hazards_glmnet . details_proportional_hazards_survival . details_rand_forest_aorsf . details_rand_forest_h2o . details_rand_forest_partykit . details_rand_forest_randomForest . details_rand_forest_ranger . details_rand_forest_spark . details_rule_fit_h2o . details_rule_fit_xrf . details_surv_reg_flexsurv . details_surv_reg_survival . details_survival_reg_flexsurv . details_survival_reg_flexsurvspline . details_survival_reg_survival . details_svm_linear_LiblineaR . details_svm_linear_kernlab . details_svm_poly_kernlab . details_svm_rbf_kernlab . discrim_flexible . discrim_linear . discrim_quad . discrim_regularized . doc-tools . dot-extract_surv_status . dot-extract_surv_time . dot-model_param_name_key . eval_args . extension-check-helpers . extract-parsnip . fit . fit_control . format-internals . gen_additive_mod . get_model_env . glance.model_fit . glm_grouped . glmnet-details . glmnet_helpers . glmnet_helpers_prediction . has_multi_predict . keras_mlp . keras_predict_classes . knit_engine_docs . linear_reg . list_md_problems . logistic_reg . make_call . make_classes . mars . max_mtry_formula . maybe_matrix . min_cols . mlp . model_db . model_fit . model_printer . model_spec . multi_predict . multinom_reg . naive_Bayes . nearest_neighbor . null_model . nullmodel . other_predict . parsnip-package . parsnip_addin . parsnip_update . pls . poisson_reg . predict.model_fit . prepare_data . proportional_hazards . rand_forest . reexports . repair_call . req_pkgs . required_pkgs.model_spec . rpart_train . rule_fit . set_args . set_engine . set_new_model . set_tf_seed . show_call . show_engines . stan_conf_int . surv_reg . survival_reg . svm_linear . svm_poly . svm_rbf . tidy._LiblineaR . tidy._elnet . tidy.model_fit . tidy.nullmodel . translate . type_sum.model_spec . update_model_info_file . varying . varying_args . xgb_train . 
Some associated R codes: C5_rules_C5.0.R . aaa.R . aaa_models.R . aaa_multi_predict.R . aaa_spark_helpers.R . add_in.R . adds.R . arguments.R . augment.R . auto_ml.R . auto_ml_h2o.R . autoplot.R . bag_mars.R . bag_mars_earth.R . bag_mlp.R . bag_mlp_nnet.R . bag_tree.R . bag_tree_C5.0.R . bag_tree_rpart.R . bart.R . bart_data.R . bart_dbarts.R . boost_tree.R . boost_tree_C5.0.R . boost_tree_data.R . boost_tree_h2o.R . boost_tree_lightgbm.R . boost_tree_mboost.R . boost_tree_spark.R . boost_tree_xgboost.R . c5_rules.R . case_weights.R . condense_control.R . contr_one_hot.R . control_parsnip.R . convert_data.R . cubist_rules.R . cubist_rules_Cubist.R . data.R . decision_tree.R . decision_tree_C5.0.R . decision_tree_data.R . decision_tree_partykit.R . decision_tree_rpart.R . decision_tree_spark.R . descriptors.R . discrim_flexible.R . discrim_flexible_earth.R . discrim_linear.R . discrim_linear_MASS.R . discrim_linear_mda.R . discrim_linear_sda.R . discrim_linear_sparsediscrim.R . discrim_quad.R . discrim_quad_MASS.R . discrim_quad_sparsediscrim.R . discrim_regularized.R . discrim_regularized_klaR.R . engine_docs.R . engines.R . extract.R . fit.R . fit_control.R . fit_helpers.R . gen_additive_mod.R . gen_additive_mod_data.R . gen_additive_mod_mgcv.R . glmnet-engines.R . glmnet_details.R . grouped_binomial.R . install_packages.R . linear_reg.R . linear_reg_brulee.R . linear_reg_data.R . linear_reg_gee.R . linear_reg_glm.R . linear_reg_glmer.R . linear_reg_glmnet.R . linear_reg_gls.R . linear_reg_h2o.R . linear_reg_keras.R . linear_reg_lm.R . linear_reg_lme.R . linear_reg_lmer.R . linear_reg_spark.R . linear_reg_stan.R . linear_reg_stan_glmer.R . logistic_reg.R . logistic_reg_LiblineaR.R . logistic_reg_brulee.R . logistic_reg_data.R . logistic_reg_gee.R . logistic_reg_glm.R . logistic_reg_glmer.R . logistic_reg_glmnet.R . logistic_reg_h2o.R . logistic_reg_keras.R . logistic_reg_spark.R . logistic_reg_stan.R . logistic_reg_stan_glmer.R . mars.R . mars_data.R . mars_earth.R . misc.R . mlp.R . mlp_brulee.R . mlp_data.R . mlp_h2o.R . mlp_keras.R . mlp_nnet.R . model_object_docs.R . multinom_reg.R . multinom_reg_brulee.R . multinom_reg_data.R . multinom_reg_glmnet.R . multinom_reg_h2o.R . multinom_reg_keras.R . multinom_reg_nnet.R . multinom_reg_spark.R . naive_Bayes.R . naive_Bayes_h2o.R . naive_Bayes_klaR.R . naive_Bayes_naivebayes.R . nearest_neighbor.R . nearest_neighbor_data.R . nearest_neighbor_kknn.R . nullmodel.R . nullmodel_data.R . parsnip-package.R . partykit.R . pls.R . pls_mixOmics.R . poisson_reg.R . poisson_reg_gee.R . poisson_reg_glm.R . poisson_reg_glmer.R . poisson_reg_glmnet.R . poisson_reg_h2o.R . poisson_reg_hurdle.R . poisson_reg_stan.R . poisson_reg_stan_glmer.R . poisson_reg_zeroinfl.R . predict.R . predict_class.R . predict_classprob.R . predict_hazard.R . predict_interval.R . predict_linear_pred.R . predict_numeric.R . predict_quantile.R . predict_raw.R . predict_survival.R . predict_time.R . print.R . proportional_hazards.R . proportional_hazards_data.R . proportional_hazards_glmnet.R . proportional_hazards_survival.R . rand_forest.R . rand_forest_aorsf.R . rand_forest_data.R . rand_forest_h2o.R . rand_forest_partykit.R . rand_forest_randomForest.R . rand_forest_ranger.R . rand_forest_spark.R . reexports.R . repair_call.R . req_pkgs.R . required_pkgs.R . rule_fit.R . rule_fit_h2o.R . rule_fit_xrf.R . standalone-survival.R . surv_reg.R . surv_reg_data.R . surv_reg_flexsurv.R . surv_reg_survival.R . survival-censoring-model.R . survival-censoring-weights.R . survival-helpers.R . survival_reg.R . survival_reg_data.R . survival_reg_flexsurv.R . survival_reg_flexsurvspline.R . survival_reg_survival.R . svm_linear.R . svm_linear_LiblineaR.R . svm_linear_data.R . svm_linear_kernlab.R . svm_poly.R . svm_poly_data.R . svm_poly_kernlab.R . svm_rbf.R . svm_rbf_data.R . svm_rbf_kernlab.R . tidy.R . tidy_glmnet.R . tidy_liblinear.R . translate.R . tunable.R . tune_args.R . type_sum.R . update.R . varying.R .  Full parsnip package functions and examples
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